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An Integrated Model for Crew, Aircraft and Passenger Recovery Problem: A Real Case Study | ||
| Advances in Industrial Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 24 اسفند 1401 اصل مقاله (989.64 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/aie.2022.346585.1848 | ||
| نویسندگان | ||
| Amir Khiabani1؛ Alireza Rashidi Komijan* 2؛ Vahidreza Ghezavati1؛ Hadi Mohammadi Bidhendi1 | ||
| 1Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran | ||
| چکیده | ||
| Airlines try to reduce the costs by improving the quality of their operational schedules. However, numerous uncontrollable factors make disruptions inevitable. A flight delay or cancellation caused by disruption may spread throughout the network and increase the operational costs by affecting the schedule of other flights, including aircraft, crew, passengers’ itinerary. While previous researches focus on one of these aspects or sequential approaches, the resulted solutions cannot lead to a reliable operational solution due to the complex relationships between these factors in practice. Therefore, an integrated recovery approaches are highly essential. The main objective of this research is to provide a fully integrated recovery model that contains various recovery scenarios to tackle the disruption and delay propagation with more flexibility and acceptable solution time. So, an integrated model for crew, aircraft and passenger recovery problem is proposed in this paper. The proposed model is formulated as MILP, based on individual flight legs to achieve a more accurate schedule with better recovery solution. Options such as aircraft reassignment, crew swapping, reassignment of passengers and ticket refunds are considered as alternatives to face disruption. Moreover, the considerations related to crew rest time and maintenance requirements are also included in the model. Due to the NP-Hard nature of the problem, the Genetic algorithm is used as the solution approach for real world data. The results show that the model has a great performance to recover the entire schedule by occurrence of the disruption for random flights and propagation delay is successfully limited. | ||
| کلیدواژه‌ها | ||
| Integrated Airline Recovery Problem؛ Mathematical modeling؛ Delay Propagation؛ Genetic Algorithm | ||
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آمار تعداد مشاهده مقاله: 80 تعداد دریافت فایل اصل مقاله: 151 |
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